mukulsinghal001
Not an IITian, Not a B.Tech, Not a CS Student. 👨🎓 But a Commerce Passout. Enjoying Marketing Data Analytics ...!!! 👩💻
India
Pinned Repositories
association-rule-mining
customer-lifetime-model-deployment
customer-lifetime-prediction-using-python
What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am sharing the customer lifetime value prediction using BG-NBD, Pareto, NBD & Gamma Model on top of RFM in Python.
Dash-by-Plotly
Interactive data analytics
Dockers
Gaussian-Mixture-Model
I have used the Gaussian Mixture Model to Segment the Customers.
lead-scoring-model-python
Lead Scoring is such a powerful metric when it comes to quantifying the lead & it is nowadays used by every CRM. In this repository, we are going to take a look at the UpGrad lead scoring case study and see how can we solve this problem through several supervised machine learning models.
SQL-for-Data-Analytics
SQL tutorial inside a Jupyter Notebook
USA-Housing-Price-Prediction
In this project I have implemented 14 different types of regression algorithms including Linear Regression, KNN Regressor, Decision Tree Regressor, RandomForest Regressor, XGBoost, CatBoost., LightGBM, etc. Along with it I have also performed Hyper Paramter Optimization & Cross Validation.
Web-Scraper-SEO
In this repository, I am sharing the Web Scraper for SEO Marketers in which they can extract metadata from the websites whether it's a static website or a Javascript-based website.
mukulsinghal001's Repositories
mukulsinghal001/customer-lifetime-prediction-using-python
What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am sharing the customer lifetime value prediction using BG-NBD, Pareto, NBD & Gamma Model on top of RFM in Python.
mukulsinghal001/lead-scoring-model-python
Lead Scoring is such a powerful metric when it comes to quantifying the lead & it is nowadays used by every CRM. In this repository, we are going to take a look at the UpGrad lead scoring case study and see how can we solve this problem through several supervised machine learning models.
mukulsinghal001/USA-Housing-Price-Prediction
In this project I have implemented 14 different types of regression algorithms including Linear Regression, KNN Regressor, Decision Tree Regressor, RandomForest Regressor, XGBoost, CatBoost., LightGBM, etc. Along with it I have also performed Hyper Paramter Optimization & Cross Validation.
mukulsinghal001/SQL-for-Data-Analytics
SQL tutorial inside a Jupyter Notebook
mukulsinghal001/Web-Scraper-SEO
In this repository, I am sharing the Web Scraper for SEO Marketers in which they can extract metadata from the websites whether it's a static website or a Javascript-based website.
mukulsinghal001/mukulsinghal001
mukulsinghal001/association-rule-mining
mukulsinghal001/customer-lifetime-model-deployment
mukulsinghal001/Dash-by-Plotly
Interactive data analytics
mukulsinghal001/Dockers
mukulsinghal001/Gaussian-Mixture-Model
I have used the Gaussian Mixture Model to Segment the Customers.
mukulsinghal001/google-analytics-api-v4
Automate the google analytics reporting using google analytics reporting api.
mukulsinghal001/k-means-clustering
mukulsinghal001/knn-algorithm
mukulsinghal001/regression
A dedicated repository to all the regression based models.
mukulsinghal001/rfm-analysis-using-kmeans
mukulsinghal001/sms-spam-classification-nltk
In this repository, I am sharing the SMS Spam Detection Classification Model using Ridge Classifier with 99% train accuracy and 98% test accuracy with Hyperparameter Optimization & Class Weight.